For a population proportion test, the test statistic is a Z-Value from a standard normal distribution.Because this is a left tailed test, we need to find the P-value of a Z-value smaller than -2.543.We can find the P-value using a Z-table, or with a programming language function:...
Find the critical value F_0 for a one - tailed test using alpha = 0.01, d.f.N = 3, and d.f.D = 20.Find the appropriate critical value of Z for the large sample test statistic Z for a left- tailed test at 1% significance le...
Find the critical value for a right-tailed test using alpha = 0.01, degrees of freedom in the numerator = 3, and degrees of freedom in the denominator = 20. Find the critical values FL and FR for a two-tailed hypothesis test based on the following value...
The aim of the present study was to test the hypothesis that children with obesity are at increased risk of LVH and diastolic dysfunction as compared with normal-weight children. Methods Study population We analyzed prospectively collected clinical and echocardiographic data of children 5–16 years ...
Statistical analysis was carried out using Prism software (Graph Pad version 7) or Progenesis® LC-MC software (Nonlinear Dynamics) for proteomics. An unpaired Student´s t test (two-tailed) was used for statistical analyses comparing 2 groups. p values of <0.05 and fold change of >2 (...
Statistical analysis: Two-way ANOVA followed by post-hoc Bonferroni (b, e, g) or unpaired, two-tailed Student’s t-test (d). p-values: 10.004, 2< 0.001, 3< 0.001, 4< 0.001, 50.026, 60.049. a–f n = cells derived from 6 animals per group. g n = animals Full...
All parameters were subjected to a two-tailed unpaired t-test (p b 0.01, Bonferroni corrected) between the two phases (before and during conversion), showing a topographic change between them without accounting for intensity. To control for the familywise error rate, Bonferroni correction fo...
For a left tailed test we need to check if the test statistic (TS) is smaller than the critical value (CV).If the test statistic is smaller the critical value, the test statistic is in the rejection region.When the test statistic is in the rejection region, we reject the null ...
Nonparametric data were analyzed using a two-tailed Mann–Whitney U-test. The Yates Chi-Square test was utilized to compare relative frequencies. For presenting proportions of patients free of arrhythmia in the follow-up time, survival curves were calculated and plotted as a graph (patients with ...